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  • Book Overview & Buying Mastering Elastic Stack
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Mastering Elastic Stack

Mastering Elastic Stack

By : Ravi Kumar Gupta, Yuvraj Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Ravi Kumar Gupta, Yuvraj Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Putting it all together


After learning about Elasticsearch, Logstash, and Kibana, let's use these components to create an end-to-end pipeline to parse data from Logstash to Elasticsearch and visualize it using Kibana. We will use a CSV file as input data, which will be used to analyze and create visualizations out of the data.

This will help us to quickly get started by using all the three components together to create an end-to-end pipeline. While using this example in this chapter, we assume that you have successfully installed Elasticsearch, Logstash, and Kibana as described in Chapter 1, Elastic Stack Overview.

Let's have a look at the input data.

Input data

We will be using the input data provided by United States Department of Agriculture Economic Research Service (USDA ERS), which is about educational attainment for the U.S and counties, 1970-2014. It provides information about the attainment of education, people who have less than a high school diploma, a high school diploma only, those...

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